UE Paging Range Selection for Low-Energy Cellular Paging
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Solution Overview
Problem
In wireless communication systems, when a user equipment (UE) is in an RRC idle state, the network sends paging messages to all cells and synchronization signal blocks (SSBs) within a tracking area to ensure delivery, leading to high network energy consumption and resource usage due to the lack of awareness of the UE's precise location.
Innovation Solution
The UE configures and signals a preferred and alternate paging range, including lists of preferred cells and SSBs, to the network, allowing the network to optimize paging operations by using fewer cells and SSBs, and provides alternate ranges for potential failures, leveraging AI/ML models for improved identification and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network sends paging messages to all cells and SSBs within a tracking area, then the paging delivery reliability is improved, but the network energy consumption and resource usage increase
Solution Approach 1:
The patent applies local quality by differentiating the paging range for different UEs based on their mobility characteristics. Instead of uniformly paging all UEs across the entire tracking area, the network identifies and pages only the specific cells and SSBs where each UE is likely to be located, determined through AI/ML models that analyze UE mobility patterns and historical data.
Solution Approach 2:
The patent changes the parameter of paging range from a fixed tracking area-wide scope to a dynamic, UE-specific scope. The AI/ML models generate predictions about UE location that dynamically adjust the paging range parameters, allowing the network to optimize between reliability and energy consumption based on predicted UE behavior rather than using a static conservative approach.
2Reliability
If the network sends paging messages to all cells and SSBs within a tracking area, then the paging delivery reliability is improved, but the network resource usage increases
Solution Approach 1:
The patent applies local quality by differentiating the paging range for different UEs based on their mobility characteristics. Instead of uniformly paging all UEs across the entire tracking area, the network identifies and pages only the specific cells and SSBs where each UE is likely to be located, determined through AI/ML models that analyze UE mobility patterns and historical data.
Solution Approach 2:
The patent applies partial action by sending paging messages to only the necessary subset of cells and SSBs rather than all cells in the tracking area. The AI/ML models determine the optimal partial set of locations to page, avoiding the excessive action of paging all cells while maintaining sufficient reliability through accurate location prediction.
3Reliability
If the network is unaware of the UE's precise location within a tracking area, then the paging coverage is improved, but the network energy consumption and resource usage increase
Solution Approach 1:
The patent applies preliminary action by having the network perform AI/ML-based location prediction in advance before sending paging messages. The models analyze historical UE mobility data, current cell information, and other parameters to predict where the UE is likely to be located, allowing the network to pre-determine the optimal paging range before actually transmitting paging messages.
Solution Approach 2:
The patent introduces AI/ML models as an intermediary between the network's lack of precise UE location knowledge and the paging decision-making process. These models process available information (UE ID, current cell, mobility patterns) and generate predictions that bridge the gap, enabling the network to act as if it had precise location information without actually requiring the UE to continuously report its exact position.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may signal a preferred paging range for a paging procedure to a network entity, and the network entity may configure the UE with a paging range for the paging procedure. In some aspects, the UE may signal one or more alternate paging ranges to be used in a case of a paging failure associated with the preferred paging range. Additionally or alternatively, the UE may signal multiple preferred paging ranges, such as a preferred paging range for each of multiple quality of service indicators and/or a preferred paging range for each of multiple times of day. In some aspects, the UE may identify the preferred paging range using at least one of an artificial intelligence model or machine learning model at the UE.